news

Nov 8, 2024 Our work Stealthy Backdoor Attack via Confidence-driven Sampling is accepted to TMLR!
Oct 21, 2024 We preprint a new work A Theoretical Understanding of Chain-of-Thought: Coherent Reasoning and Error-Aware Demonstration!
Oct 14, 2024 We preprint a new work Towards the Effect of Examples on In-Context Learning: A Theoretical Case Study!
Oct 10, 2024 One paper(Towards the Effect of Examples on In-Context Learning: A Theoretical Case Study) is accepted to M3L and SFLLM NeruIPS 2024!
Oct 1, 2024 I will serve as the reviewer for ICLR 2025 and AISTAT 2025.
Sep 20, 2024 Two papers( Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis; On the generalization of training-based chatgpt detection methods) accepted to EMNLP 2024!
Jun 3, 2024 I start a new position as Research Intern at Alibaba Group(US) in Bellevue, WA.
May 16, 2024 We have two papers( Exploring Memorization in Fine-tuned Language Models; The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)) accepted to ACL2024!
Feb 6, 2024 We preprint a paper: Data Poisoning for In-context Learning
Feb 6, 2024 We preprint a paper: Superiority of Multi-Head Attention in In-Context Linear Regression
Feb 5, 2024 We release our survey paper about copyright: Copyright Protection in Generative AI: A Technical Perspective
Jan 16, 2024 Our paper: Sharpness-aware Data Poisoning Attack is accepted as Spotlight (5%) by ICLR2024!
Oct 11, 2023 We preprint a paper: Exploring Memorization in Fine-tuned Language Models.
Oct 10, 2023 We preprint a paper: On the Generalization of Training-based ChatGPT Detection Methods.
Oct 10, 2023 We preprint a paper: FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models.
Oct 9, 2023 We preprint a paper: Confidence-driven Sampling for Backdoor Attacks.
Sep 8, 2023 Our paper Analyzing Illegal Psychostimulant Trafficking Networks Using Noisy and Sparse Data is on IISE Transactions now.
Jul 22, 2023 I will serve as an external reviewer for ICDM 2023.
Jul 13, 2023 I will serve as the PC member of AAAI’24.
May 25, 2023 We preprint a paper: DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion Models.
May 24, 2023 We preprint a paper: Sharpness-aware Data Poisoning Attack.
Apr 24, 2023 Our paper Probabilistic Categorical Adversarial Attack & Adversarial Training is accepted to ICML2023.
Apr 20, 2023 Our paper Large sample spectral analysis of graph-based multi-manifold clustering is accepted to Journal of Machine Learning Research.
Dec 29, 2022 I will serve as the PC member of KDD’23.
Sep 28, 2022 We preprint a paper: Probabilistic Categorical Adversarial Attack & Adversarial Training.
Aug 15, 2022 We hold a lecture-style tutorial about Adversarial Robustness and Poisoning Attacks in the KDD 2022.
Aug 10, 2022 I will serve as the PC member of AAAI’23.
Aug 1, 2022 Our paper PROPN: Personalized Probabilistic Strategic Parameter Optimization in Recommendations got accepted to CIKM’22.
Jul 14, 2021 We preprint a paper: Large sample spectral analysis of graph-based multi-manifold clustering.